高伟 助理教授

导师与研究领域、方向：

高伟，博士，北京大学信息工程学院助理教授，博士生导师。香港城市大学计算机科学系计算机科学博士。曾在美国加州大学洛杉矶分校（UCLA）电子工程系做访问学者，曾在香港城市大学计算机科学系和新加坡南洋理工大学电气与电子工程学院做博士后研究。曾在美国OmniVision Technologies上海公司担任摄像头图像信号处理工程师。近5年来主要科研成果发表在相关领域高水平国际期刊（如TIP、TCSVT、TMM等）和国际顶级/重要会议上20余篇，申请或授权美国/中国/PCT专利20余项，积极参与多媒体与人工智能技术的标准提案工作。目前作为负责人正在主持科研项目10余项，包括科技部科技创新2030人工智能重大项目子课题、国家自然科学基金（青年项目、重点项目子课题）、广东省自然科学基金、深圳市基础研究项目（面上项目、重点项目）、腾讯公司委托项目等，并作为研究骨干参与多个国家级项目、香港研究资助局优配研究基金、香港创新科技署项目等。荣获深圳市海外高层次人才计划、2019年和2020年CCF-腾讯犀牛鸟基金、2019年广东省计算机学会优秀论文一等奖等。担任国际知名SCI期刊IET Image Processing和Electronics Letters编委，同时是众多国际顶级期刊的审稿人。

研究方向：

1、智能视频编码（点云、全景、光场和3D等）；

2、图像视频处理与计算机视觉（三维点云、图像视频和沉浸式媒体复原）；

3、视觉感知建模及应用（显著性目标检测、质量评价和恰可察失真等）；

4、深度神经网络理论、应用及软硬件加速实现。

近年来有代表性的期刊论文：

1. Wei Gao, Sam Kwong, and Yuheng Jia, “Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding,” IEEE Transactions on Image Processing, vol. 26, no. 12, pp. 6074-6089, Dec. 2017. (多媒体领域顶级期刊，JCR1区)

2. Wei Gao, Sam Kwong, Hui Yuan, and Xu Wang, “DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-level Bit Allocation for HEVC,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 1, pp. 139-153, Jan. 2016. (视频编码领域顶级期刊，JCR1区)

3. Wei Gao, Sam Kwong, Yu Zhou, and Hui Yuan, “SSIM-Based Game Theory Approach for Rate-Distortion Optimized Intra Frame CTU-level Bit Allocation,” IEEE Transactions on Multimedia, vol. 18, no. 6, pp. 988-999, June 2016. (多媒体领域顶级期刊，JCR1区)

4. Wei Gao, Sam Kwong, Qiuping Jiang, Chi-Keung Fong, Peter H. W. Wong, and Wilson Y. F. Yuen, “Data-Driven Rate Control for Rate-Distortion Optimization in HEVC Based on Simplified Effective Initial QP Learning,” IEEE Transactions on Broadcasting, vol. 65, no. 1, pp. 94-108, March 2019. (视频通信领域顶级期刊，JCR1区)

5. Wei Gao, Sam Kwong, and Hongshi Sang, “Low-cost Memory Data Scheduling Method for Reconfigurable FFT Bit-reversal Circuits,” Electronics Letters, vol. 51, no. 3, pp. 217-219, 2015. (集成电路领域重要期刊)

6.Qiuping Jiang, Wei Gao, Shiqi Wang, Guanghui Yue, Feng Shao, Yo-Sung Ho, Sam Kwong, “Blind Image Quality Measurement by Exploiting High Order Statistics with Deep Dictionary Encoding Network,” IEEE Transactions on Instrumentation and Measurement, April 2020. (机器学习人工智能领域顶级期刊，JCR1区)

7.Qiuping Jiang, Feng Shao, Wei Gao, Hong Li, and Yo-Sung Ho, “A Risk-Aware Pairwise Rank Learning Approach for Visual Discomfort Prediction of Stereoscopic 3D Images,” IEEE Signal Processing Letters, vol. 26, no. 11, pp. 1588-1592, Nov. 2019. (多媒体领域重要期刊，JCR2区)

8. Mingliang Zhou, Xuekai Wei, Chi-Keung Fong, Peter H. W. Wong, Wilson Y. F. Yuen, Shiqi Wang, Sam Kwong, and Wei Gao, “SSIM-Based Global Optimization for CTU-Level Rate Control in HEVC,” IEEE Transactions on Multimedia, vol. 21, no. 8, pp. 1921-1933, Aug. 2019. (多媒体领域顶级期刊，JCR1区)

9. Qiuping Jiang, Feng Shao, Wei Gao, Zhuo Chen, and Gangyi Jiang, “Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images,” IEEE Transactions on Image Processing, vol. 28 , no. 4, April 2019. (多媒体领域顶级期刊，JCR1区)

10. Yuheng Jia, Sam Kwong, Wenhui Wu, Ran Wang, and Wei Gao, “Sparse Bayesian Learning Based Kernel Poisson Regression,” IEEE Transactions on Cybernetics, vol. 49, no. 1, Jan. 2019. (机器学习与人工智能领域顶级期刊，JCR1区)

11. Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, and Wei Gao, “Nonnegative Matrix Factorization with Mixed Hypergraph Regularization for Community Detection,” Information Sciences, vol. 435, 263-281, April 2018. (机器学习与人工智能领域重要期刊，JCR1区)

12. Yu Zhou, Sam Kwong, Wei Gao, and Xu Wang, “A Phase Congruency Based Patch Evaluator for Complexity Reduction in Multi-dictionary Based Single-image Superresolution Reconstruction,” Information Sciences, vol. 367-368, pp. 337-353, Nov. 2016. (机器学习与人工智能领域重要期刊，JCR1区)

13. Yu Zhou, Sam Kwong, Hainan Guo, Wei Gao, and Xu Wang, “Bi-level Optimization of Block Compressive Sensing with Perceptually Nonlocal Similarity,” Information Sciences, vol. 360, pp. 1-20, Sept. 2016. (机器学习与人工智能领域重要期刊，JCR1区)

14. Hui Yuan, Sam Kwong, Xu Wang, Wei Gao, and Yun Zhang, “Rate Distortion Optimized Inter View Frame Level Bit Allocation Method for MV-HEVC,” IEEE Transactions on Multimedia, vol. 17, no. 12, pp. 2134-2146, Dec. 2015. (多媒体领域顶级期刊，JCR1区)

美国专利：

1. Wei Gao, and Sam Kwong, “Systems and Methods for Rate Control in Video Coding using Joint Machine Learning and Game Theory,” United States Patent, US10542262B2, Jan. 21, 2020.

2. Wei Gao, Sam Kwong, Chi Keung Fong, Hon Wah Wong, Hon Tung Luk, Hok Kwan Cheung, and Yiu Fai Yuen,“A Method for Initial Quantization Parameter Optimization in Video Coding,” United States Patent, US10560696B2, Feb. 11, 2020.

对计划招收的硕士和博士研究生的基本要求：

1. 专业范围：计算机科学技术、电子信息工程、通信工程、自动化与控制、应用数学等相关专业的本科和硕士毕业生。

2. 研究能力与其它要求：熟练的程序设计能力，具有较强的科研兴趣与动力，具有一定的探索和创新精神，具有团队合作意识，愿意以较高的标准严格要求自己。

欢迎优秀的本科生和硕士生保送和报考北京大学信息工程学院的硕士和博士研究生，同时欢迎申请课题组的博士后和访问职位，从事多媒体计算与人工智能相关热门与前沿课题的研究探索，更多信息请查看个人主页：https://gaowei262.github.io/。

Email：gaowei262@pku.edu.cn; gaowei262@126.com